AI-department-in-a-box for mid-market companies

Moative is the operating partner that deputes a CTO who talks ‘board-to-code,’ builds, buys, or brings our own AI systems.

Stationed CTO. Continuously improving AI toolset across every deployment.

Get us on the floor

Patented Data Tools for AI. Proprietary Orchestration, Memory, Evaluation Systems

AI foundation for mid-market. Built from within.

Deputed CTO, Forward-deployed engineers, & AI technologists

TailML

Transformer-based models to forecast for rare-event scenarios

SpaceML

State-Space models for predicting impact of confounding variables

PriceML

Price prediction of commodities, revenue realization through ensemble of models

Bastion

Agent Orchestration. Agent Governance. Model Routing.

Spoggle

Patented, Semantic Data Normalization. Conversational Reports.

Cortex

Enterprise context & memory. Access controlled, internal, self-updating knowledge base

Courier

Self-healing, agentic browser automation

Loyal to outcomes. Just like your insiders.

12 weeks to first result. Each result earns our upside.

Patented Data Tools for AI. Proprietary Orchestration, Memory, Evaluation Systems

AI foundation for mid-market. Built from within.

WEEK 1 & 2

AI Value Co-Sign

Moative’s proprietary ‘AI Value Matrix’ exercise with key executives from your org., along-side the deputed CTO. We huddle to build the full roadmap.

Every process mapped on a matrix of AI readiness & ‘size of prize.’ All dependencies and sequences mapped.

Moative & your executive team co-sign on the first verifiable outcomes

WEEK 3 & 4

Data Prep. Process Deep-dive

1:1 pairing with process owner. Three deep-dive sessions. Led by the CTO.

No expensive data lakes. No rearchitecting.

Our CTO dips into your existing data storage and pipelines. Pick what is required to automate.

Our team assembles the tool stack.

One outcome metric identified for one process

WEEK 5 - 8

Build Agent Swarm

Unlike typical transformation projects, our CTO & forward deployed engineers work with your function owner, build & show agents at work.

No user-testing. Co-build. Iterate. Ready for internal demos.

No Vendor tap dance. No change orders. Build. Iterate. Deploy.

WEEK 9 - 12

Deploy Agents at Work

The last mile where we prove outcomes to earn our keep.

Reliable, real-world ready agentic workflow. Guardrails. Human approved. Feedback Loop for improvements.

Close first cycle. Pick the wins. Build Conviction. Invest in infra before scaling.

“Our AI leadership in energy billing jumpstarted with Moative. They truly cared for our outcomes”

Bob Crenshaw

Bob CrenshawChairman & Co-CEO - Exceleron

Moative’s AI Agents & ML Models deployed already in mission-critical domains

Game. Set. Midmarket

Power & DataCenters

10 hours every year makes or breaks the year’s trading outcomes for power traders. Power dispatch optimization saves millions for data centers.

Moative built first-of-its-kind models that track rare events on their impact on power pricing

Power and data centers forecasting dashboard

Healthcare

A typical healthcare practice is made of 110 or more processes. No AI tool stitches all of them to deliver outcomes.

Moative incubated the first ever AI-Managed-Services Org for Healthcare

Healthcare revenue cycle automation dashboard

Equipment Underwriting

Underwriters stitch data from lease packages manually. They guess the residual value of used equipment

Moative is incubating an AI-powered lease document takeoff & residual value prediction product

Equipment underwriting residual value prediction dashboard

Process Manufacturing

Industrial boiler operations are governed by SOPs, even though the working conditions change every minute.

Moative’s AI models govern boiler operations by the minute, saving $10,000 a day

Process manufacturing boiler optimization dashboard

Serial Tech Entrepreneurs. 90th Percentile AI & ML Engineers. Ph.Ds. Patent Holders

Hands-On AI Leaders

25+ Years of delivering outcomes with data

Kumar Srivatsan

Kumar Srivatsan

Chief Executive Officer & Co-founder

Nikhil Sathasivam

Nikhil Sathasivam

Chief AI Delivery Officer & Co-founder

Arjun Prasanna

Arjun Prasanna

Head of Data Science & Industrial AI

AI Outcomes Advisory Board

Advisory Network of Industry Leading CXOs. The translators in between us and our clients

Frank Sorce

Frank Sorce

40+ years in pharma. Merck, Reliant Pharmaceuticals, Syneos Health, and a decade-plus at UPM Pharmaceuticals l Advisor: Scale-up, tech transfer, and commercialization, translating strategy into measurable execution.

Dan Nalawade

Dan Nalawade

CEO, CFO & CRO at various GE businesses. Co-founder, Matrix Finance Solutions (a tech-first, supply chain finance company). Advisor for PE, Midmarket companies. Cross-continental operator.

Lez Kraus

Lez Kraus

CFO with deep experience across Retail, Financial Services, Pharma, and Nutraceuticals. Advisor: Strategic fund-raising, Business turnarounds, Process transformation

Mark Nitz

Mark Nitz

Army Officer. Philosopher. Data Nerd. Org Strategy. Change Management. Geospatial Information Specialist. Advisor: Ai adoption for senior leadership in mid-market and large companies

Sowm Bharadwaj

Sowm Bharadwaj

Chicago Booth Alumnus. Energy Markets Expert. 20 years in wholesale energy. Advisor: Enterprise Technology Design, Process Improvement, Interconnection

Chris Davies

Chris Davies

Fleet Maintenance Expert. Strategy consultant for mid and large fleet operators. Advisor: Fleet maintenance, vendor management, spend optimization

Incubated by Moative AI Labs

The only AI incubator for regulated, aseet-heavy industries, built in partnership with mid-market operators & companies

Ashwin Ramasamy

Ashwin Ramasamy

Chief Strategist - AI Labs

Shrikanth Jagannathan

Shrikanth Jagannathan

Chief Data Scientist

Bharath Moro

Bharath Moro

Portfolio CTO. Advisor

Moative AI Labs was started in 2024 by serial AI & Data entrepreneurs from Google, Johns Hopkins, & IITs

Kick-off the AI Value Workshop

Moative’s team & your leadership team huddle. We learn your business and workflows. We come back and present the roadmap for adopting AI. Where to start, how to sequence, which ones to build in-house, which parts to buy, and how to gain value and valuation

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